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ERIC ED335389: Schooling, Skills, and the Returns to Government Investment in Education: An Exploration Using Data from Ghana. Living Standards Measurement Study, Working Paper No. 76. PDF

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_ DOCUMENT RESUME ED 335 389 TM 017 004 AUTHOR Glewwe, Paul TITLE Schooling, Skills, and the Returns to Government Investment in Educations An Exploration Using Data from Ghana. Living Standards Measurement Study, Working Paper No. 76. INSTITUTION World Bank, Washington, D. C. REPORT NO ISBN-0-8213-1764-4; ISSN-0253-4517 PUB DATE 91 NOTE 69p. AVAILABLE FROM The World Bank, Publications Department, 1818 H St., N.W., Washington, DC 20433 (Order Stock No. 11764, $6.95, Price Code 006). PUB TYPE Reports - Evaluative/Feasibility (142) EDRS PRICE MF01 Plus Postage. PC Not Available from EDRS. DESCRIPTORS *Developing Nations; Economic Impact; *Educational Finance; Lducational Policy; Educational Quality; Elementary Secondary Education; *Equations (Mathematics); Estimation (Mathematics); Federal Aid; Foreign Countries; *Government Role; Human Capital; Investment; *Mathematical Models; Outcomes of Education IDENTIFIERS *Ghana; *Human Capital Theory; Return on Investment ABSTRACT Investments in schooling are often regarded as essential for economic development, implying that such investments have high rates of return in developing countries. This paper examines the accuracy and usefulness of estimates of rates of return to formal schooling based on the standard human capital model of G. Becker and J. Mincer. Focus is on whether failure to account for differences in ability and school quality across a random sample significantly biases estimates of the private return to schooling derived from estimates of wage equations. This is done using an unusually rich data set from Ghana (over 4,700 households), which includes tests of ability and cognitive skills administered to 389 survey respondents. When years of schooling are used to measu:e the accumulation of human capital, there are virtually no returns to schooling in the private sector. Replacement of years of schooling by reading and mathematical ability does show positive returns to acquired skills, although these rates may be of little use to governments making schooling investment decisions because of the complexity of such decisions. Many government investments in education are designed to raise rates of return to schooling by raising school quality, but decisions by individuals assume that both rates of return and school quality are exogenous. Thirteen tables present data from the analyses. Four appendices provide supplemental data concerning the calculation of rates of return. (SLD) *********************************************************************** Reproductions supplied by EDRS are the best that * can be made * from the original document. * * *********************************************************************** SCOPE OF INTEREST NOTICE The ERIC Facility his assigned urns this document for processing to: so In our tudgment. this document is also of interest to tne Clear. Inghooses noted to the right Indexing should reflect their special points of view Living Standar& Measurement Study Working Paper No. 76 Schooling, Skills, and the Returns LI in Education to Government Investment THIS "PERMISSION TO REPRODUCE U.S. DEPARTMENT OF EDUCATION ONLY Office of Educational ReSellren and Improvement MATERIAL IN MICROFICHE EDUCATIONAL RESOURCES INFORMATION HAS BEEN GRANTED BY CENTER (ERIC) 1g4nis document has been reproduced as F61,7-01ER received from the Person or organization originating it 0 Minor changes nave been made tO improve reproduction Quality RESOURCES Points of view of opinions stated in INS doCLr TO THE EDUCATIONAL official ment clo not necessarily represent INFORMATION CENTER (ERIC)." OER1 position or policy 4, BEST COPY AVAILABLE LSMS Working Papers No. 6 Household Survey Experience in Africa No. 7 Measurement of Welfare: Theory and Practical Guidelines No. 8 Employment Data for the Measurement of Living Standards No. 9 Income and Expenditure Surveys in Developing Countries: Sample Design and Execution No. 10 Reflections on the LSMS Group Meeting No. 11 Three Essays on a Sri Idnka Household Survey No. 12 The ECIEL Study of Household Income and Consumption in Urban Latin America: An Analytical History No. 13 Nutrition and Health Status Indicators: Suggestions for Surveys of the Standard of Living in Developing Countries No. 14 Child Schooling and the Measurement of Living Standards No. 15 Measuring Health as a Component of Living Standards No. 16 Prxedures for Collecting and Analyzing Mortality Data in LSMS Ne. 17 The Labor Market and Social Accounting: A Framework of Data Presentation No. 18 Time Use Data and the Living Standards Measurement Study No. 19 The Conceptual Basis of Measures of Household Welfare and Their Implied Survey Data Requirements No. 20 Statistical Experimentation for Household Surveys: Two Case Studies of Hong Kong No. 21 The Collection of Price Data for the Measurement of Living Standards No. 22 Household Expenditure Surveys: Some Methodological Issues No. 23 Collecting Panel Data in Developing Countries: Does It Make Sense? No. 24 Measuring and Analyzing Levels of Living in Developing Countries: An Annotated Questionnaire No. 25 The Demand for Urban Housing in the Ivory Coast No. 26 The Côte divoire Living Standards Survey: Design and Implementation No. 27 The Role of Employment and Earnings in Analyzing Levels of Living: A General Methodology with Applications to Malaysia and Thailand No. 28 Analysis of Household Expenditures No. 29 The Distribution of Welfare in Côte d'Ivoire in 1985 No. 30 Quality, Quantify, and Spatial Variation of Price: Estimating Price Elasticities from Cross-Sectional Data No. 31 Financing the Health Sector in Peru No. 32 Informal Sector, Libor Markets, and Returns to Education in Peru No. 33 Wage Determinants in Côte d' [yoke No. 34 Guidelines for Adapting the LSMS Living Standards Questionnaires to Local Conditions No. 35 The Demand for Medical Care in Developing Countries: Quantity Rationing in Rural ate d' Ivoire No. 36 ldbor Market Activity in Cole d'Ivoire and Peru No. 37 Health Care Financing and the Demand for Medical Care No. 38 Wage Determinants and School Attainment among Men in Peru No. 39 The Allocation of Goods within the Household: Adults, Children, and Gender No. 40 The Effects of Household and Community Characteristics on the Nutrition of Preschool Children: Evidence from Rural Cote d'Ivoire No. 41 Public-Private Sector Wage Differentials in Peru,1985-86 No. 42 The Distribution of Welfare in Peru in 1985-86 (List continues on the inside back cover) 3 BEST COPY AViiiLABLE Schooling, Skills, and the Returns to Government Investment in Education An Exploration Using Data from Ghana The Living Standards Measurement Study The Living Standards Measurenent Study (Lshi9) was established by the World Bank in 1980 to explore ways of improving the type and quality of house- hold data collected by statistical offices in developing countries. Its goal is to foster increased use of household data as a basis for policy dedsiorunaking. Specifically, the LSMS is working to develop new methods to monitor progress in raising levels of living, to identify the consequences for households of past and proposed gov- ernment policies, and to improve communications between survey statisticians, an- alysts, and policymakem. The tsms Worldng Paper series was started to disseminate intermediate prod- ucts from the ISMS. Publications in the series include critical surveys covering dif- ferent aspects of the isms data collecdon program and reports on improved methodologies for using Living Standards Survey (Iss) data. More recent publica- tions recommend specific survey, questionnaire, and data processing designs, and demonstrate the breadth of policy analysis that can be carried out using Lis data. ISMS Working Paper Number 76 Schooling, Skills, and the Returns to Goverment Investment in Education An Exploration Using Data from Ghana Paul Glewwe The World Bank Washington, D.C. Copyright 0 1991 The International Bank for Reconstruction and Development/THE WORLD BANK 1818 H Street, N.W. Washington, D.C. 20433, U.S.A. All rights reserved Manufactured in the United States of America First printing March 1991 To present the results of the Living Standards Measurement Study with the least possible delay, the typescript of this paper has not been prepared in accordance with the procedures appropriate to formal printed texts, and the World Bank accepts no responsibility for errors. The findings, interpretations, and conclusions expressed in this paper are entirely those of the author(s) and should not be attributed in any manner to the World Bank, to its affiliated organizations, or to members of its Board of Executive Directors or the countries they represent. The World Bank does not guarantee the act" &racy of the data included in this publication and accepts no responsibility whatsoever for any consequence of their use. Any maps that accompany the text have been prepared solely for the convenience of readers; the designations and presentation of material in them do not imply the expression of any opinion whatsoever on the part of the World Bank, its affiliates, or its Board or member countries concerning the legal status of any country, territory, city, or area or of the authorities thereof or concerning the delimitation of its boundaries or its national affiliation. The material in this publication is copyrighted. Requests for permission to reproduce portions of it should be sent to Director, Publications Department, at the address shown in the copyright notice above. The World Bank encourages dissemination of its work and will normally give permission promptly and, when the reproduction is for noncommercial purposes, without asking a fee. Permission to photocopy portions for classroom use is not required, though notification of such use having been made will be appreciated. The complete backlist of publications from the World Bank is shown in the annual Index of Publications, which contains an alphabetical title list (with full ordering information) and indexes of subjects, authors, and countries and regions. The latest edition is available free of charge from the Publications Sales Unit, Department F, The World Bank, 1818 H Street, N.W., Washington, D.C. 20433, U.S.A., or from Publications, The World Bank, 66, avenue d'Iéna, 75116 Paris, France. ISSN: 0253-4517 Paul Glewwe is an economist in the Welfare and Human Resources Division of the World Bank's Population and Human Resources Department. Library of Congress Cataloging-in-Publication Data Glewwe, Paul, 1958- Schooling, skills, and the returns to government investment in education : an exploration using data from Ghana / Paul Glewwe. p. cm.(LSMS working paper, ISSN 0253-4517 ; no. 76) Includes bibliographical references. ISBN 0-8213-1764-4 1. EducationEconomic aspectsGhana. II. Series. I. Title. LC67.G45G57 1991 333.4'337'09667dc20 91-8098 CIP ABSTRACT for econowic oftan regarded as essential Investments in schooling are in have high rates of return implies that such investments ievelopment, which and usefulness of This paper examines the accuracy developing countries. the standard human formal schooling based on estimates of rates of return to investigates Regarding accuracy, it Mincer. capital model of Becker and ability and school quality for differences in whether failure to account to biases estimates of the private return sample significantly across a random This is done using en estimates of wage equations. schooling derived from used to When years of schooling are Ghana. unusually rich data set from there are virtually no returns to accumulation of human capital, measure the schooling by reading Replacement of years of schooling in the private sector acquired skills. ability does show positive returns to and mathematical when making be of little use to governments However, these rates of return may complex because such decisions are much more schooling investment decisions In particular, mans government decisions of individuals. than the investment schooling by designed to raise rates of return to investments in education are both rates of decisions by individuals assume that raising school quality, but quality are exogenous. return and school ACKNOWLEDGEMENTS Th:: data used in this paper could not have been collected without the cooperation of Ghana's Ministry of Education and Culture and the Ghana Thanks also go to Nick Stalistical Service, for which I am deeply grateful. Bennett of the World Bank for help and advice in the data collection. Finally, I would like to thank Jere Behrman, Jacques van der Gaag, John Ham, Robert E. B. Lucas, George Psacharopoulos and David RO53 for Of course, I alone am responsible comments on earlier drafts of this paper. for any shortcomings. TABLE OF CONTENTS 1 Introduction I. 3 Rates of Return to Schooling Investments II. 3 The Human Capital Model 4 Innate Ability and School Quality 6 Other Schooling Models 8 Estimation III. 10 Private Rates of Return to Schooling in Ghana IV. 11 Conventional Estimates 16 Estimates Using Observed Cognitive Skills 26 Further Examination of the Human Capital Model in Ghana V. 26 Is There Evidence of Screening or Credentialism? How are Workers Allocated Between the Public and Private 28 Sectors? 30 Does Experience Matter in Ghana? 32 Rates of Return to Education by Schooling Level 37 Rates of Return to Schooling Investments Reconsidered VI. 37 Benefits of Schooling 39 Costs of Schooling 41 Social Investment Decisions 45 Summary and Conclusion VII. LIST OF TABLES 12 Variable Definitions and Means in Wage Equations Table 1: Earnings and Schooling in Ghana: Government and Private Wage Table 2: 13 Estimates 17 Means of Test Scores and Other Variables by Wage Sector Table 3: 18 Wages and Cognitive Skills Table 4: , 20 Determinants of Cognitive Skills Table 5: 24 Impact on Math and Reading Skills from One Year of Schooling Table 6: 24 Rates of Return to Schooling Table 7: 27 Testing for Credentialism Table 8: 30 Government Employment vs. Private Sector Table 9: 32 Table 10: Occupation of Private Sector Wage Earners Table 11: Determinants of Cognitive Skills with Separate Effects by 34 Level of Education Table 12: Marginal Impact on Math and Reading Skills from One Year of 35 Schooling 36 Table 13: Private Rates of Return to Schooling by Level of Education. 1 0

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